Zoghi Sina, Tabesh Zahra, Ansari Ali, Yousefi Omid, Masoudi Mohammad Sadegh, Taheri Reza
Department of Neurosurgery, Shiraz University of Medical Sciences, Shiraz, Iran.
Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
BMC Res Notes. 2025 Jan 10;18(1):8. doi: 10.1186/s13104-025-07085-7.
Postoperative tracheostomy is a significant complication following medulloblastoma (MB) resection. This study aimed to develop a predictive model for postoperative tracheostomy requirement in children undergoing MB surgical resection. This model was derived as a side product of a larger research project analyzing surgical outcomes in pediatric MB patients.
Forty-five patients (26%) required tracheostomy postoperatively. Using multivariable logistic regression, five models were developed, and the final model was selected based on performance and simplicity. The simplified version included two predictors: preoperative brainstem invasion and postoperative brainstem contusion, each contributing equally to the score. The model demonstrated an AUC of 0.845. Predicted risks of requiring a tracheostomy were 5.8%, 57.7%, and 75% for scores of 0, 1, and 2, respectively. This tool provides clinicians with a quantitative approach to assess tracheostomy risk, improving decision-making and patient management.
术后气管造口术是髓母细胞瘤(MB)切除术后的一种严重并发症。本研究旨在建立一个预测模型,用于预测接受MB手术切除的儿童术后气管造口术的需求。该模型是一个更大的研究项目的副产品,该项目分析了儿童MB患者的手术结果。
45例患者(26%)术后需要气管造口术。使用多变量逻辑回归,建立了五个模型,并根据性能和简易性选择了最终模型。简化版包括两个预测因素:术前脑干侵犯和术后脑干挫伤,每个因素对评分的贡献相同。该模型的曲线下面积(AUC)为0.845。评分为0、1和2时,预测需要气管造口术的风险分别为5.8%、57.7%和75%。该工具为临床医生提供了一种定量方法来评估气管造口术风险,改善决策制定和患者管理。